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4 дня назад

Director, Business Intelligence (Data and Analytics) - Hybrid

137 900 - 246 350$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Director, Business Intelligence (Data and Analytics) - Hybrid (Data Science, Analytics, AI): Leading data science, analytics, and AI capabilities across products and platforms with an accent on enterprise-scale production systems, data quality, explainability, and regulatory readiness. Focus on defining data and AI strategy, enabling reusable analytics platforms and APIs, and building senior data science leadership.

Location: Hybrid; minimum of eight days per month in the office in Dallas, TX, Minneapolis, MN, or New York, NY, USA. Travel is minimal, up to 10%. Applicants may be required to appear onsite for interviews.

Compensation: $137,900–$246,350 USD annually, plus bonus eligibility.

Company

hirify.global is the employer for this data and analytics leadership organization.

What you will do

  • Own the data and analytics strategy across applied machine learning, analytics, and generative AI.
  • Provide scientific and technical leadership for production data science systems operating at enterprise scale.
  • Govern the quality, integrity, explainability, traceability, validation, and audit readiness of data and AI outputs.
  • Enable reusable analytics, AI platforms, APIs, and strategic partner integrations for product differentiation and data monetization.
  • Partner with Product, Engineering, IT, and business leaders to align data science outcomes with business and compliance priorities.
  • Build, mentor, and scale senior data science talent and technical leadership.

Requirements

  • Extensive experience in data science, analytics, or applied AI, including senior leadership roles.
  • Experience leading large-scale production products or systems in complex environments.
  • Experience applying data science in regulated, compliance-driven, or high-stakes business contexts.
  • Ability to define and execute enterprise-scale data science or AI strategies and translate strategy into scalable delivery.
  • Bachelor’s degree in engineering, data science, mathematics, or a related field.
  • 15+ years of progressive leadership experience in data science, analytics, or AI-enabled organizations.

Nice to have

  • Advanced degree, including an MBA.

Culture & Benefits

  • Hybrid work model with regular office attendance.
  • Medical, dental, and vision plans.
  • 401(k), FSA/HSA, and commuter benefits.
  • Tuition assistance, vacation and sick time, and paid parental leave.
  • Bonus eligibility.

Hiring process

  • Interviews assess individual skills, experience, and communication without AI tools or external prompts.
  • In-person interviews may be included, and AI-generated responses or third-party interview support may result in disqualification.

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